Episodes
Why Incremental Lift Is The Only Metric That Matters
Most marketers are still optimizing for clicks and conversions that would have happened anyway. This episode dives into the specific mechanics of incremental lift testing, using a concrete example from a major consumer packaged goods brand to show how randomized control trials reveal the true return on ad spend. We break down why last-click attribution is distorting budgets in Q4 of 2026, how to structure a clean geo-test without bleeding data, and the one metric that actually predicts…
Why Your Marketing Attribution Is Broken And How To Fix It
Most marketers are still using last-click attribution, which assigns one hundred percent of the credit to the final touchpoint while ignoring the weeks of research that actually drove the decision. In this episode, Lucas and Luna dissect why this model fails in modern customer journeys where buyers visit ten sites before buying. They explore how multi-touch models like time-decay and position-based offer a more accurate view of performance, helping brands allocate budget to awareness channels…
How Retail Media Networks Shift Marketing Attribution
Retail media networks have quietly become the largest digital ad channel in America, yet most marketers still measure them using legacy last-click models that undervalue their true impact. In this episode, we break down how Walmart Connect and Amazon Advertising are changing the math on customer acquisition costs. We look at a specific case where shifting ten percent of brand budget to retail media improved return on ad spend by eighteen percent, not because the ads were better, but because the…
How Marketing Attribution Ignores The Offline World
Most marketers treat attribution as a closed loop of clicks and views, but the biggest drivers of revenue often happen offline. We examine how companies like Home Depot and Starbucks bridge that gap using unique store identifiers and loyalty program data to measure true campaign impact. This episode explores why your last-click model is undercounting value and offers a concrete framework for attributing spend to in-store conversions. We look at specific case studies where offline tracking…
How Predictive Analytics Transforms Marketing Decisions
Marketing teams are drowning in historical data but starving for future insight. In this episode of Marketing Analytics, Lucas and Luna dissect how predictive modeling shifts the conversation from last-click attribution to proactive customer journey mapping. We look at a specific case where a mid-sized retail brand used machine learning to identify high-lifetime-value prospects before they ever clicked an ad, reducing their cost per acquisition by twenty-eight percent while increasing…
How Retail Media Networks Quietly Capture Ad Spend
We are dissecting the hidden economics of retail media networks and why they have become the most efficient yet opaque channel in modern marketing. With over two hundred billion dollars in global spend, these platforms use first-party purchase data to target shoppers with surgical precision, often bypassing traditional attribution models entirely. We look at how a major consumer goods brand shifted forty percent of its budget to Amazon Brand Analytics and Walmart Connect, resulting in a…
The Last Click Problem in Marketing
Last click attribution still dominates digital spend, but it systematically undervalues the awareness and consideration stages of the customer journey. In this episode, we break down why relying solely on the final touchpoint distorts marketing ROI, using a specific case study from a mid-sized e-commerce brand that saw its customer acquisition costs spike after shifting budget away from upper-funnel content. Lucas and Luna explore how multi-touch attribution models like time-decay and…
Why Your Marketing Data Is Lying To You
Most marketers are still optimizing for last-click attribution in a world where the customer journey is fragmented across dozens of touchpoints. In this episode, Lucas and Luna dissect why that outdated model systematically under-credits brand-building channels like video ads and public relations while over-awarding direct response tactics. They use a concrete case study from a mid-sized consumer goods company to show how shifting just ten percent of budget away from last-click toward a…
The Zero-Party Data Advantage in Marketing
We break down why zero-party data is becoming the most reliable asset for modern marketers, using a specific case study of a direct-to-consumer apparel brand that increased conversion rates by eighteen percent through proactive preference centers. Lucas and Luna discuss the mechanics of incentivizing customers to share their preferences, the difference between inferred and stated intent, and how this strategy reduces reliance on third-party cookies. We explore the practical steps to build a…
How Dynamic Pricing Algorithms Set Your Prices
In this episode of Marketing Analytics, Lucas and Luna dissect the real-world mechanics of dynamic pricing algorithms used by major retailers. They explore how companies like Amazon and Uber adjust prices in real-time based on demand, inventory, and competitor data. The hosts break down the ethical implications of price discrimination, the technical challenges of implementing fair pricing models, and how consumers can protect themselves from algorithmic exploitation. Featuring specific examples…
The Incremental Lift of Retail Media Networks
We break down why retail media networks are quietly reshaping the marketing landscape, focusing on Walmart’s recent $10 billion revenue milestone and the shift from broad brand awareness to precise incremental lift. Lucas and Luna examine how first-party purchase data is replacing third-party cookies, allowing brands to measure true return on ad spend rather than just click-through rates. We look at the specific mechanics of shelf-space advertising in digital environments and why traditional…
How Customer Lifetime Value Changes Marketing Math
Most marketers are obsessed with the first sale, treating every customer as a one-and-done transaction. This is Episode 210 of Marketing Analytics with Fexingo, where we argue that this myopic view destroys long-term profitability. Lucas and Luna break down how shifting from customer acquisition cost to customer lifetime value metrics forces brands to rethink their entire funnel. We examine specific cases like Warby Parker and Dollar Shave Club, showing how their early losses were actually…
How Retail Media Networks Capture Ad Spend
Lucas and Luna break down the explosive growth of retail media networks, using Walmart Connect as a primary case study. They explore how retailers like Target and Amazon are turning shelf space into digital inventory, capturing ad dollars that traditionally went to social platforms. The conversation examines why these closed-loop data systems offer superior attribution for CPG brands, while raising questions about platform dependency and rising costs. With Q3 2026 ad spend shifting heavily…
How Retail Media Networks Quietly Capture Ad Spend
In this episode of Marketing Analytics with Fexingo, Lucas and Luna unpack the explosive growth of retail media networks. They examine how major retailers have evolved from simple point-of-sale locations into sophisticated advertising platforms that now command billions in brand budgets. The discussion focuses on the specific mechanics of off-site retail ads, why traditional attribution models struggle to capture their value, and what CMOs are doing to measure true return on ad spend in a…
The Hidden Cost of Marketing Attribution
In this episode, Lucas and Luna dissect the silent killer of marketing efficiency: the false sense of security provided by last-click attribution models. They explore a specific case where a mid-sized e-commerce brand wasted forty percent of its budget on low-intent channels because their analytics dashboard only rewarded the final click. The hosts explain how to identify when your data is lying to you, using concrete examples from retail media networks and organic search decay. You will learn…
How Contextual Intelligence Replaces Cookie Tracking
With third-party cookies effectively dead by October 2026, marketers are pivoting to contextual intelligence as the primary attribution engine. Lucas and Luna examine how brands like Nike and Unilever are using real-time content analysis rather than user tracking to place ads in relevant environments. The episode breaks down why this shift matters for privacy compliance and long-term brand safety, offering a concrete framework for measuring campaign performance without relying on individual…
How Marketing Mix Modeling Fixes Attribution Blind Spots
Most marketers rely on last-click attribution, which assigns all credit to the final touchpoint and ignores the long lead-up. This approach systematically undervalues brand awareness campaigns and overpays for direct response. Lucas and Luna break down how marketing mix modeling uses historical data to allocate credit across channels more accurately. They examine a specific case where shifting from last-click to M&A revealed that television ads were driving half of all online conversions. The…
How Brand Lift Studies Reveal True Marketing Impact
Lucas and Luna dive into the often-overlooked world of brand lift studies, exploring how they differ from direct response metrics. Using a specific case study of a major beverage company's recent campaign, they explain why measuring attitude change is critical for long-term growth. The hosts discuss the methodology behind these surveys, common pitfalls in sample sizing, and how to integrate qualitative insights with quantitative data. They challenge the listener to rethink their current…
Why Your Marketing Data Is Lying To You
We talk to data scientist Sarah Chen about how last-click attribution distorts budget allocation, using her retail case study where shifting ten percent of spend to assisted channels drove a twenty two percent lift in customer lifetime value. Discover the hidden cost of vanity metrics and learn how to build a multi-touch model that actually reflects consumer behavior. #MarketingAnalytics #AttributionModeling #CustomerJourney #DataScience #DigitalMarketing #ROAS #MultiTouchAttribution…
How Retail Media Networks Change Marketing Attribution
Retail media networks like Walmart Connect and Amazon Ads have become the fastest-growing segment in digital marketing, yet their closed-loop data creates massive attribution blind spots for brands spending across multiple channels. In this episode of Marketing Analytics, Lucas and Luna examine how retailers are monetizing shopper data and why traditional last-click models fail when half your customer journey happens on a marketplace you don't control. We look at specific spend shifts from…
How First Party Data Transforms Marketing Attribution
Most brands are still guessing at campaign performance because they rely on third-party cookies that no longer exist. In this episode, we explore how leading companies like Nike and Starbucks are shifting to first party data strategies to build direct customer relationships. We look at the specific mechanics of loyalty programs, email capture, and zero party data collection. The discussion centers on why owned channels provide higher quality attribution signals than rented media platforms. You…
How Incremental Marketing Shifts Spend Decisions
Marketing teams often rely on attribution models that credit the last click, ignoring the earlier touchpoints that built trust. This episode examines how incremental testing isolates true causal impact from organic noise. We look at a specific retail case where shifting ten percent of budget to holdout groups revealed wasted spend on broad display campaigns. Lucas and Luna break down the mechanics of lift studies versus correlation-based reporting, offering a concrete framework for measuring…
Why Attribution Modeling Is Broken And What To Do
Most marketers are still guessing which channels drive revenue. We break down why last-click attribution is failing in September 2026, using real-world examples from retail and software sectors to show how multi-touch models reveal true campaign performance. Learn how to fix your measurement strategy. #MarketingAnalytics #AttributionModeling #CustomerJourney #DigitalMarketing #ROI #DataStrategy #ConversionOptimization #BrandAwareness #PerformanceMarketing #MarketingMix #FexingoBusiness…
How Incremental Testing Reveals True Marketing ROI
Most marketers rely on attribution models that assign credit to the last click, ignoring the slow burn of brand building. This episode dissects how incremental lift testing isolates the true causal impact of advertising spend. We examine a specific case where a mid-sized retailer shifted budget from performance channels to brand awareness and saw customer acquisition costs drop by twenty percent while total revenue rose. Lucas and Luna break down the mechanics of geo-based holdout tests…
How Cross-Channel Attribution Solves Marketing Waste
We break down the specific mechanics of multi-touch attribution models using a realistic scenario from September 2026. Most marketers still rely on last-click data, which ignores the crucial middle miles of the customer journey. We examine how shifting to a time-decay or position-based model reveals hidden value in early-stage content and mid-funnel retargeting. The conversation explores why your best-performing ads might look like failures in simple dashboards, and how to fix measurement…
Why Your Best Ads Fail to Convert
We dissect the counterintuitive reality that high-performing creative assets often suffer from lower conversion rates than mediocre ones. Using a case study of a major consumer brand’s recent A-B test, we explore why curiosity-driven headlines attract clicks but fail to qualify leads, while boring, benefit-heavy copy drives actual revenue. This is Episode 196 of Marketing Analytics with Fexingo. #MarketingAnalytics #ConversionRateOptimization #AdCreativeStrategy #ClickThroughRate…
How Incremental Testing Proves Marketing ROI
We dig into why last-click attribution is lying to your CMO and how incremental lift testing actually measures what matters. Using a recent retail case study, we break down the math behind holdout groups and why ignoring them costs brands millions in wasted spend. This is the episode for marketers tired of guessing and ready to prove value. #MarketingAnalytics #IncrementalTesting #LiftStudies #DataDriven #ROI #Attribution #HoldoutGroups #FexingoBusiness #BusinessPodcast #MarketingStrategy…
How Incremental Testing Proves Marketing ROI
We explore why incremental lift testing is the gold standard for measuring true marketing impact, moving beyond last-click attribution. Using a concrete example from Walmart's retail media network strategies and comparing it against traditional holdout methods, we break down how to design a valid experiment, avoid common pitfalls like seasonality bias, and calculate real return on ad spend. This episode offers actionable steps for CMOs and analysts to validate their spend with scientific rigor…
How Shadow IT Undermines Marketing Attribution
Marketing teams spend millions on tracking pixels and CRM integrations, yet a massive chunk of campaign data remains invisible. This episode explores how shadow IT—the unauthorized software tools employees use to get work done—creates blind spots in attribution models. We look at why standard attribution fails when sales reps use personal email accounts or third-party scheduling apps that bypass corporate firewalls. The result is a distorted view of which channels actually drive revenue…
How Psychological Pricing Shapes Your Buying Decisions
We dissect the mechanics of charm pricing and how specific price points like nine dollars ninety-nine influence consumer perception versus actual value. Lucas explores the cognitive biases behind decimal endings while Luna examines the shifting trend toward premium whole-number pricing in luxury sectors. This episode reveals why your brain processes these numbers differently than a calculator would. #PsychologicalPricing #CharmPricing #ConsumerBehavior #MarketingStrategy #PricePoint…
How Voice Search Reshapes Marketing Attribution
Lucas and Luna explore how voice search is quietly breaking traditional attribution models. With over forty percent of mobile searches now spoken, the shift from typed keywords to conversational queries is distorting last-click data. They examine a specific case involving a regional law firm that saw its organic traffic spike while paid search performance plummeted, revealing that voice assistants are absorbing credit for brand awareness efforts. The hosts discuss why natural language…
How Sales Reps Steal Your Marketing Attribution
Most marketing attribution models assume the customer journey ends when they click a link or submit a form. But what happens when that lead lands on a sales rep’s desk? In this episode, we explore how internal handoffs create massive blind spots in your data. We look at why traditional last-click attribution fails to credit brand awareness campaigns when the actual conversion happens during a phone call. Lucas and Luna break down the friction between marketing qualified leads and closed-won…
How Incremental Testing Reveals True Marketing ROI
Traditional attribution models often credit the last click, ignoring the complex journey customers take before converting. In this episode of Marketing Analytics with Fexingo, Lucas and Luna dissect how incremental lift testing provides a more accurate picture of marketing performance. They explore a specific case where a major consumer brand shifted from multi-touch attribution to geo-based holdout tests, revealing that twenty percent of their perceived 'winning' campaigns were actually…
How Influencer ROI Defies Traditional Attribution
Influencer marketing is often the black box of modern attribution, but a specific case study from a mid-sized apparel brand reveals how tracking codes and unique landing pages can expose true return on ad spend. We dissect why last-click models fail to capture the awareness lift generated by creator-led content and how forward-thinking CMOs are using blended metrics to justify six-figure creator budgets. This episode explores the friction between creative freedom and data precision, offering a…
How Product-Led Growth Changes Marketing Spend
We examine how Salesforce shifted its marketing budget from traditional advertising to product-led growth, focusing on the free trial funnel. Lucas and Luna break down the specific metrics that matter when products sell themselves, including activation rates, time-to-value, and viral coefficients. This episode explores why measuring paid acquisition is no longer enough when your best sales channel is the software itself. #ProductLedGrowth #Salesforce #MarketingAnalytics #FexingoBusiness…
How Internal Referrals Drive Real Growth
In this episode of Marketing Analytics, Lucas and Luna explore how employee advocacy programs can amplify marketing ROI by up to thirty percent. They examine the mechanics of internal referrals, using a case study from a mid-sized SaaS company that leveraged LinkedIn integration to boost lead quality. The discussion covers best practices for incentivizing staff without creating compliance risks, and why authentic peer-to-peer sharing often outperforms paid social campaigns in B2B environments.…
How Customer Lifetime Value Transforms Marketing Spend
Most marketing teams still measure success by the immediate return on ad spend for a single transaction, but that metric ignores the long-term economic reality of the customer relationship. In this episode, we look at how shifting focus from first-purchase attribution to customer lifetime value changes budget allocation decisions across industries. We break down the specific mechanics of calculating true lifetime value using real-world examples from subscription services and durable goods. You…
Why Incremental Lift Testing Beats Attribution
Most marketing teams treat last-click attribution as gospel, but it systematically undervalues upper-funnel work. We look at how a mid-market consumer brand shifted to incrementality testing to find out what actually drives sales versus what just gets credit. The data reveals that nearly forty percent of their top-of-funnel spend was invisible to standard dashboards until they ran geo-lift experiments. This episode breaks down the mechanics of holdout groups, why statistical significance…
How Brand Lift Studies Reveal True Marketing Impact
We drill into brand lift studies, the specific methodology used by platforms like Meta and YouTube to measure ad effectiveness beyond last-click attribution. Lucas walks through a recent case where a mid-sized apparel brand tested their video ads against a control group, revealing a twenty percent increase in purchase intent that traditional analytics completely missed. Luna explores why this metric matters for long-term equity versus short-term conversion. We break down how to design these…
How Offline Sales Drive Online Marketing ROI
Most marketing teams optimize for clicks while ignoring the physical world. We examine how brick-and-mortar retailers like Home Depot and Best Buy use unique purchase codes to close the loop between digital ads and in-store purchases. The episode breaks down why last-click attribution fails when customers research online but buy offline, and how brands can measure true return on ad spend by tracking foot traffic and point-of-sale data. This is about connecting the dots between your screen and…
How Contextual Targeting Replaces Cookies
With third-party cookies effectively dead, marketers are pivoting to contextual targeting as the primary measurement engine. This episode dissects how leading brands are using semantic analysis and real-time content classification to replace behavioral tracking. We look at a specific case where a major retailer shifted budget from cookie-based retargeting to high-intent page placement, resulting in a twelve percent lift in conversion rates while maintaining privacy compliance. Lucas and Luna…
How First-Party Data Reshapes Attribution
Most marketers still chase last-click attribution, but cookie deprecation is forcing a pivot to first-party data strategies. This episode examines how major retailers are using zero-party data collection points—like loyalty programs and post-purchase surveys—to build direct customer relationships. We break down the specific mechanics of moving from third-party dependency to owned audience segments, highlighting why this shift matters for long-term campaign performance in a privacy-first…
The Hidden Cost of Free Samples in Marketing
Lucas and Luna dissect how direct-to-consumer brands use free samples to acquire customers, only to find that ninety percent never buy again. They explore the hidden economics of customer acquisition cost versus lifetime value, using a specific case study from a major skincare company to show why measuring retention is more critical than measuring sign-ups. This episode breaks down the math behind sample-driven growth and offers a practical framework for marketers to stop bleeding cash on…
How Internal Referrals Drive Real Growth
Most attribution models ignore the most efficient growth channel: your own employees. We break down why internal referral programs often outperform paid ads in cost-per-acquisition and retention, using a specific case study from a mid-market SaaS firm that scaled its workforce by forty percent while cutting marketing spend. Lucas and Luna explore how to measure this hidden engine of growth, why it is invisible to standard last-click attribution, and what leaders need to change in their…
How Marketing Mix Modeling Fixes Attribution Gaps
Attribution models track clicks, but they miss the big picture. In this episode, Lucas and Luna explore Marketing Mix Modeling, or MMM, as the statistical backbone that ties together offline spend, macro trends, and long-term brand health. We look at how major retailers use regression analysis to allocate budget across TV, radio, and digital channels without relying on last-click data. You will learn why MMM is not a replacement for attribution but a necessary complement, especially in a…
How Retail Media Networks Are Rewriting Attribution
Retail media networks have become the fastest-growing segment in digital advertising, with spending projected to exceed one hundred billion dollars this year. But traditional attribution models struggle to capture their true impact because these campaigns happen on closed-loop platforms like Amazon and Walmart. Lucas and Luna explore how first-party purchase data changes the game for marketers who rely on last-click attribution. They examine why a view on a retailer’s site often leads to…
How Attribution Models Miss the Value of Customer Surveys
In this episode of Marketing Analytics with Fexingo, Lucas and Luna dive into a blind spot most attribution models share: customer surveys. They explore how survey responses—like customer satisfaction scores, Net Promoter Scores, and post-purchase feedback—can reveal the true impact of marketing channels that last-touch and multi-touch models routinely undervalue. Using a concrete example of a software company whose survey data reshaped its media mix, they show how qualitative insights can…
Why Attribution Models Miss Multi-Touch Paid Search
In this episode of Marketing Analytics with Fexingo, Lucas and Luna explore a blind spot in marketing attribution: multi-touch paid search. Most models credit the last click or the first click, but paid search often works as a mid-funnel assist that nudges high-intent prospects toward conversion. They dive into a specific case from a B2B SaaS company that saw a 40 percent drop in attributed conversions after switching to a data-driven attribution model, only to recover by manually weighting…
How Attribution Misses Geo Experiments
In this episode of Marketing Analytics with Fexingo, Lucas and Luna dig into a blind spot most attribution models share: they ignore the value of geo experiments. Using a concrete example of a national retail chain that ran a 12-week geo test on TV and paid social, they explain why incremental lift is the real measure of marketing performance, and why your model might be misattributing sales. They also touch on the practical challenges of geo testing, from control market selection to…
Why Attribution Misses the Value of Retail Media Networks
Retail media networks let brands buy ads on a retailer's site and measure them down to the purchase. But most attribution models still credit the last click, ignoring the retailer's brand halo and the customer's pre-existing loyalty. In this episode, Lucas and Luna dig into a 2025 case study from a mid-sized grocery chain that launched its own retail media network. They show how the network's true value—incremental sales from new customers, lift in private-label purchases, and improved retailer…
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